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All Journal Jurnal Simetris Sistemasi: Jurnal Sistem Informasi Creative Information Technology Journal Faktor Exacta AL-ATHFAL : JURNAL PENDIDIKAN ANAK Jurnal Mantik Penusa JURIKOM (Jurnal Riset Komputer) Jurnal ICT : Information Communication & Technology Respati Madani : Indonesian Journal of Civil Society Jurnal Abdi Masyarakat Indonesia Aptekmas : Jurnal Pengabdian Kepada Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Bangsa MUALLIMUN : JURNAL KAJIAN PENDIDIKAN DAN KEGURUAN Jurnal Al-Husna
Norhikmah Norhikmah
Sistem Informasi, Fakultas Ilmu Komputer, Universitas AMIKOM Yogyakarta, Indonesia
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Management of Tracking in Real Time on a Website-based Laundry Information System Dewi Pratama Mastha Cahyaningrum; Norhikmah Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2943

Abstract

Dewi Jaya Laundry provides a variety of laundry services. However, the administrative process and transactions with customers are still not computerized, so it can take more time and customers cannot do tracking of their clothes. To overcome these problems, a solution was built in the form of a website-based information system that has a Real Time Tracking feature. Primary data collection was obtained directly from the research site, namely Dewi Jaya Laundry located on Perumnas street by making direct observations at Dewi Jaya Laundry. Meanwhile, we gather secondary knowledge from scientific articles and books on database development for websites. It utilizes Waterfall research methodology and is built with PHP and MySQL databases. This system is built through the stages of analysis, design, development, and testing. The black box method is used for system testing, which emphasizes the functionality of the system. The system's ability to perform its intended functions has been verified by the test results. This research succeeded in developing a laundry information system that has a Real Time Tracking feature that functions to monitor customer laundry packages, so customers can know which stage of the washing or drying process is taking place, so they can know when clothes are ready to be taken.
Implementation of the Levenshtein Distance Algorithm and the Regular Search Expression Method for Detecting Typors in Javascript Mu’alif Lihawa; Anggit Dwi Hartanto; Norhikmah Norhikmah; Donni Prabowo; Ika Nur Fajri; Wiwi Widayani
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i2.2795

Abstract

Typing is an activity to write an article in printed form that has been assembled by a typewriter. With the rapid development of the times, typewriters were replaced by computers because they were efficient in making writing or text. a text or writing that is easy to understand in conveying information does not have word mistakes that result in unclear information being conveyed. In word processing applications such as Microsoft Office Word, it has the word suggestions and autocorrect word features which are very useful in checking an article where there are word errors in the writing. This research develops a javascript library to detect typo errors for writing wrong words and recommends the right words to change the wrong words. This study uses the Levenshtein Distance Algorithm and the Regular Search Expression method. The results of this study were successfully applied to the word recommendation feature in the library with an accuracy value of 50% and a precision level of 5%.
Problems of Learning the Qur’an in Early Childhood Education during the COVID-19 Pandemic Aghnaita, Aghnaita; Norhikmah, Norhikmah
Al-Athfal: Jurnal Pendidikan Anak Vol. 8 No. 2 (2022)
Publisher : Islamic Early Childhood Education Study Program, Faculty of Tarbiyah and Education, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/al-athfal.2022.82-04

Abstract

Purpose – The early learning of the Qur’an, infused with Islamic values, has been widely regarded as an effective tool in preserving the natural inclinations of children and nurturing their humanity. However, the ongoing COVID-19 pandemic has presented significant obstacles to Qur’an learning in Early Childhood Education (ECE) institutions. As such, this study seeks to offer a comprehensive description of the challenges faced by these institutions in delivering their teachings during this global health crisis.Design/methods/approach – The method used in this research is descriptive qualitative research. The location of this research was carried out at 4 ECE institutions. Namely: RA Al-Muslimun Nurul Islam, TKIT Asy-Syaamil Qur’anic Fullday School, Integrated Star Islamic Early Childhood Education, and RA Ulumul Qur’an Al Madani.Findings – The current COVID-19 pandemic has created significant challenges for learning the Qur’an in ECE. These issues can be categorized as internal and external factors. Internal factors relate to teachers’ difficulties when conducting practical learning activities outside the classroom. Meeting constraints, large class sizes, and limited time duration often result in an inability to deliver a complete learning experience. Externally, learning losses in early childhood have become apparent, with children experiencing behavioral changes. Not all parents are equipped to accompany their children in instilling Islamic values based on the Qur’an at home. This issue is compounded by parental objections to tuition fees, which creates financial challenges for institutions. Finally, offline learning has been the subject of criticism from the community, which indirectly affects the learning process.Research implications/limitations – This study used a qualitative method related to the problems of learning the Qur’an in ECE during the COVID-19 pandemic. Practical implications – The research presents significant implications for developing Al-Qur’an learning post-pandemic. It also provides valuable insights into formulating policies about Al-Qur’an learning during pandemics. Additionally, the study sheds light on the effectiveness of character building during the challenging times of the COVID-19 pandemic.Originality/value – Potential avenues for further investigation could include examining the effects of COVID-19 on the acquisition of Qur’anic knowledge during early childhood and its potential impacts on personality development. Such research could contribute to a deeper understanding of how the pandemic has influenced educational and psychological outcomes in this context. Paper type Research paper
Sistem Pakar Rekomendasi Pendakian Gunung di Jawa Tengah menggunakan Algoritma Fuzzy Tsukamoto Berbasis Website Anggun Pratiwi, Cut Tesya Iftillah; Norhikmah, Norhikmah
Faktor Exacta Vol 16, No 3 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i3.17685

Abstract

Indonesia has a variety of unique tours both in terms of nature and history that can be used as tourist attractions for local and foreign people, with a variety of beauties that can be enjoyed. One of them is the mountainous area which presents views that can soothe and spoil the eyes in almost every area of Indonesia which has different characteristics of mountains, especially the island of Java, to be precise in the area of Central Java, has about 12 mountains which are usually used as climbing places for residents in or outside the region, in addition to helping the people's economy, climbing can also be used to protect nature and can introduce the beauty of nature in Indonesia to the international community. Therefore a system was created to recommend mountain climbing in the Central Java area based on a website using the Fuzzy Tsukamato method
Sistem Pakar Diagnosa Penyakit Berisiko Di Setiap Status Gizi Berdasarkan Indeks Massa Tubuh Menggunakan Metode Hy-brid Case Base Pratama, Rifqhy Rayhan Andi Riga; Norhikmah, Norhikmah
Faktor Exacta Vol 16, No 3 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i3.17686

Abstract

Nutritional status is an indicator of health for a person which is divided into four classifications, namely, Obesity, Overweight, Normal Weight, and Underweight. and nutritional status can be obtained by calculating the body mass index (BMI) of the person by dividing the body weight (kg) by the height (m2). after knowing the nutritional status, a diagnosis can be made by applying the Hybrid Case Base method. Applicationing of this method is too precise because it can provide accurate diagnostic results because this method combines two methods, namely Case Based Reasoning and Rule Based Reasoning. With this expert system, it can help people to find out their nutritional status and whether they have a risky disease or not, especially for people who don't have a lot of free time to consult with doctors so they can do it only by using the expert system that has been created. This method is quite fast and practical and provides accurate diagnostic results as well.
Application of 2DPCA and SOM Algorithms to Identification of Digital Signature Ownership Norhikmah, Norhikmah
Faktor Exacta Vol 16, No 3 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i3.17504

Abstract

Signature Is one of the proofs for ratification, one of which is a thesis document, with the development of the  when conventional signatures have begin to switch to digital signatures, where digital signatures already have a legal umbrella in Indonesia, currently Covid is still hitting Indonesia, forcing some agencies change the ratification of a document using a digital signature, so that it can provide an opening for falsifying digital signature ratification. Therefore, an application is needed to identify the ownership of a digital signature image, with the first research stage is to collect a digital signature dataset in the form of a signature image or take a dataset from a published legal document, an example of a second stage publication manages the image processing with grayscale first to get extra features and then analyzes the extra feature image using 2DPCA, and identification To get the best matching of image units using the Single Organizing Maps (SOM) method. the results of this study are using the 2DPCA algorithm and SOM to identify ownership of digital signatures, with 84 correct and incorrect test results, from a total dataset of 91 patterns. And get the highest accuracy value of 92.3% at a 20000 translation and a rate of 0.9.
DESAIN EKSTERIOR PADA TK ISLAM NAHDHATUL ULAMA PALANGKA RAYA Muzakki, Muzakki; Aghnaita, Aghnaita; Setyaningsih, Adila; Hairunnisa, Hairunnisa; Norhikmah, Norhikmah; Pirasintiya, Pirasintiya
JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2024): Sipissangngi Volume 4, Nomor 1, Maret 2024
Publisher : Lembaga Penelitan dan Pengabdian Masyarakat, Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/jurnal.v4i1.4794

Abstract

Kegiatan ini merupakan pengabdian pada masyarakat dosen dan mahasiswa Program Studi Pendidikan Islam Anak Usia Dini IAIN Palangka Raya yang berlansung di TK Islam Nahdhatul Ulama, Palangka Raya, Kalimantan Tengah. Pada kondisi sekarang ini keadaan bangunan di TK Islam Nahdhatul Ulama sudah cukup baik namun lingkungan yang cukup luas tidak dimanfaatkan untuk membuat permaianan. Guru mengusulkan untuk merenovasi lingkungan diluar luar ruangan untuk menambahkan beberapa permainan bagi anak-anak. Tujuan dari  kegiatan ini adalah membantu guru untuk melakukan renovasi diluar ruangan sebagai acuan pengembangan stimulasi pada anak. Tahapan metode yang digunakan adalah dengan pengumpulan data yang meliputi bedah kelas, perilaku pengguna dan aktivitas serta jenis-jenis perabot yang mendukung. Kegiatan pengabdian ini dilaksanakan selama 1 bulan. Hasil yang dicapai pada kegiatan ini adalah desain eksterior dengan membuat beberapa permainan pada lingkungan diluar ruangan kelas. 
Sistem Pakar Analisis Kerusakan pada Komputer dan Laptop menggunakan Metode Dempster Shafer dan Metode Forward Chaining Arifin, Muhammad Nurul; Norhikmah, Norhikmah
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 15, No 1 (2024): JURNAL SIMETRIS VOLUME 15 NO 1 TAHUN 2024
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v15i1.10240

Abstract

Analisis algoritma untuk Sistem Pakar yang akan menjadi program komputer  yang mengadaptasi hasil pemikiran atau analisis dari seorang pakar untuk menyelesaikan masalah masih dibutuhkan seorang pakar. Kerusakan komputer yang sering terjadi di kalangan masyarakat awam menganggu produktivitas keseharian dalam menggunakan komputer maupun laptop, Analisis Algoritma Dempster Shafer Dan Metode Forward Chaining Pada Kerusakan Komputer Dan Laptop akan melakukan deteksi gejala menggunakan metode Forward Chaining yang akan di akurasi oleh metode Dempster Shafer untuk memberikan hasil kerusakan teridentifikasi dan solusi pemnyelesaian, dengan hasil presentase mencapai 80% sistem pakar ini akan dapat membantu mendeteksi gejala kerusakan komputer dan membantu menyelesaikan permasalahan tersebut.
Edukasi Penggunaan Sunscreen pada Siswa MAN 2 Barito Kuala Miranti, Rizka Mulya; Salsabila, Nur Syifa; Norhikmah, Norhikmah; Nurma, Nurma
Jurnal Pengabdian Masyarakat Bangsa Vol. 1 No. 11 (2024): Januari
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v1i11.653

Abstract

Indonesia terletak digaris khatulistiwa dan beriklim tropis sehingga memiliki intensitas paparan matahari yang tinggi. Paparan sinar matahari dapat merusak kulit karena adanya sinar ultraviolet. Efek buruk sinar matahari diperkuat dengan adanya perubahan iklim berupa pemanasan global sehingga diperlukan upaya untuk melindungi kulit dengan menggunakan sunscreen namun belum banyak masyarakat yang menyadari pentingnya penggunaan sunscreen. Edukasi ini bertujuan untuk meningkatkan pengetahuan siswa MAN 2 Barito Kuala tentang pentingnya penggunaan sunscreen dan cara penggunaan sunscreen yang benar untuk melindungi kesehatan kulit. Kegiatan ini berupa penyuluhan yang diikuti oleh 30 siswa dengan penyampaian materi dan demonstrasi cara menggunakan sunscreen yang benar. Hasil pretest dan postest dengan menggunakan kuisioner menunjukan peningkatan pengetahuan siswa dan hasil survei kepuasan menunjukan 62,67% sangat puas dan 27,67% merasa puas dengan kegiatan ini.
Sentiment Analysis using the Support Vector Machine Algorithm on Covid_19 Adytyo Wahyu Nugroho; Norhikmah Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i4.3778

Abstract

This massive development of information technology makes it easier for people's lives in various fields, one of them is social media, social media that people use a lot to get information about news or events that are happening in Indonesia, one of which is social media Twitter which provides a lot of information for the people of Indonesia, one of which is information about Covid-19 which is currently rife in the territory of Indonesia Sentiment analysis is a branch of Natural Language Processing (NLP) which can help determine the sentiments that occur in society. This study uses data in the form of tweets to carry out sentiment analysis obtained on Twitter social media.This research utilizes one of the Supervised Learning algorithms, namely Support Vector Machine. In this study, three (3) kernels are used for the Support Vector Machine, each of which is Linear, Radial basis function and Polynomial, to find which kernel produces the highest accuracy value. From the experiments carried out using data sharing for training as much as 70% and for testing data as much as 30% of the total data of 6000 data, the resulting accuracy value for the Support Vector Machine method on the Linear kernel produces an accuracy value of 89% and for the Radial kernel base function accuracy by 90% and for the Polynomial kernel it produces an accuracy of 88%. So it is concluded for the three (3) kernels for testing the Support Vector Machine method on the Radial basis function kernel to produce the best accuracy value
Co-Authors Acihmah Sidauruk Adytyo Wahyu Nugroho Aldis Gandi Mitra Sanjung Ali Mustofa Alvien Muhammad Kannabi Anggit Dwi Hartanto Anggun Pratiwi, Cut Tesya Iftillah Arifin, Muhammad Nurul Dewi Pratama Mastha Cahyaningrum Donni Prabowo Fajri, Ika Nur Fintas Yulianti Hairunnisa Hairunnisa Husain, Aghnaita imadduddin, Imadduddin Kusrini Kusrini Kusuma, Prita Widia M. Rudyanto Arief Muharam, Fatta Mulyani Mulyani Muzakki Muzakki, Muzakki Mu’alif Lihawa Mu’arif, Zidan Neela Afifah Nita Helmawati Nita Helmawati Nor Latifah Nurlaila Nurlaila Nurma, Nurma Pirasintiya, Pirasintiya Pratama, Rifqhy Rayhan Andi Riga Pratama, Rifqy Rayhan Andi Riga Purwanto, Dimas Yudistira Randani Randani Rizka Mulya Miranti Rumini Rumini - Rumini Rumini Salsabila, Nur Syifa Setyaningsih, Adila Sulistyo Pradana Vidyana Arsanti Wiji Nurastuti Wiwi Widayani